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Google’s DeepMind Gemini is the latest text-based artificial intelligence to challenge OpenAI’s ChatGPT. Gemini features multiple large language models (LLMs) of various sizes, each of them bringing multimodal capabilities to the Google AI suite. Like ChatGPT, it will also push the boundaries of innovation in AI technology, with the most powerful of the three versions benchmarking more impressive results than GPT-4. The Gemini AI release date has now been confirmed.
What is Google DeepMind Gemini?
The DeepMind Gemini AI model was released on December 6th, 2023. It’s a VLM (visual language model) similar to OpenAI’s GPT-4V (GPT-4 with vision). This computer vision gives it multimodal capabilities beyond a large language model (LLM) like OpenAI’s GPT-4, which is the NLP (natural language processing) technology behind ChatGPT. It is an AI model, not a chatbot, and directly competes with GPT-4V and GPT-4 Turbo.
It encompasses three versions, called Gemini Ultra, Gemini Pro, and Gemini Nano. Ultra demonstrates the full extent of Google’s AI capabilities, while Nano is efficient enough for “on-device” use, meaning it will run locally on smartphones without necessarily needing a server or internet connection. The Pro version is a balanced tradeoff between the other two.
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The Gemini project aims to tackle difficult problems through deep learning processes and reinforcement learning techniques. Most importantly, different fields of work will widely consider its use for future innovations. It could help scientific researchers in their various studies to provide solutions to their problems in climate change, healthcare departments, aviation, food, agriculture, etc.
This system will be based on DeepMind’s prior AlphaGo technology. DeepMind CEO Demis Hassabis has promised it will combine “the strengths of AlphaGo-type systems with the amazing language capabilities of the large models.”
When will Google release DeepMind Gemini?
Google Gemini AI is now released and is integrated into Google Bard. The new AI model replaces the previous model, PaLM 2, which was also made by Google. This comes two months later than sources close to Google initially tapped as an October 2023 release.
Build with Gemini will subsequently be released on December 13th, allowing you to “integrate Gemini models into your applications with Google AI Studio and Google Cloud Vertex AI.”
How much did the acquisition of DeepMind cost Google?
In early 2014, Google confirmed that it had made deals with DeepMind about its acquisition in the price range between $400-650 million. It was agreed between the two parties that Google would fully take over DeepMind technologies in the set price range.
Is Gemini AI safe?
Google DeepMind CEO Demis Hassabis is proactive about high-level safeguards in the AI space. “I think more research by the field needs to be done – very urgently – on things like evaluation tests,” he affirms. “I would love to see academia have early access to these frontier models,” and we expect DeepMind to be made available to external scientists as a result – perhaps even open-source.
Google’s chatbot project will lead to new scientific discoveries and skepticism in proportion to its prominence. OpenAI CEO Sam Altman shares these concerns, perhaps more fervently so with his role in the Frontier Models Forum. While no one can say for certain that AI – or the course of progress we’re on – is safe, AI safety is a soberly considered topic in big tech. Sarah Hodkinson is the current Principal Program Manager for AI Security & Safety at Google DeepMind.
As we advance further in today’s modern technological AI era, we now see more AI-based programs, chatbots, or tools being released. Each of these AI models claims to be better than its rival. Even with benchmarks released alongside the announcement, time will tell how these AI chatbot models match up in real-world applications.